MIT News – Artificial intelligence Hundreds of robots zip back and forth across the floor of a colossal robotic warehouse, grabbing items and delivering them to human workers for packing and shipping. Such warehouses are increasingly becoming part of the supply chain in many industries, from e-commerce to automotive production. However, getting 800 robots to […]Continue reading

AWS Machine Learning Blog Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI wave. Many conversational AI use cases require LLMs like Llama 2, Flan T5, and Bloom to respond to user queries. These models rely on parametric knowledge to […]Continue reading

MIT News – Artificial intelligence This semester, students and postdocs across MIT were invited to submit ideas for the first-ever MIT Ignite: Generative AI Entrepreneurship Competition. Over 100 teams submitted proposals for startups that utilize generative artificial intelligence technologies to develop solutions across a diverse range of disciplines including human health, climate change, education, and […]Continue reading

MIT News – Artificial intelligence In the mid-1980s, composer Tod Machover came across a copy of Philip K. Dick’s science fiction novel “VALIS” in a Parisian bookstore. Based on a mystical vision Dick called his “pink light experience,” “VALIS” was an acronym for “vast active living intelligence system.” The metaphysical novel would become the basis […]Continue reading

AWS Machine Learning Blog The success of generative AI applications across a wide range of industries has attracted the attention and interest of companies worldwide who are looking to reproduce and surpass the achievements of competitors or solve new and exciting use cases. These customers are looking into foundation models, such as TII Falcon, Stable […]Continue reading

AWS Machine Learning Blog Artificial intelligence (AI) adoption is accelerating across industries and use cases. Recent scientific breakthroughs in deep learning (DL), large language models (LLMs), and generative AI is allowing customers to use advanced state-of-the-art solutions with almost human-like performance. These complex models often require hardware acceleration because it enables not only faster training […]Continue reading

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